Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "44" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 95 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 93 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459912 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.487847 | 0.056705 | -0.666109 | -0.625122 | -0.346045 | 1.239922 | -0.934726 | -0.113056 | 0.6835 | 0.6994 | 0.3998 | nan | nan |
| 2459911 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.477712 | 0.017622 | -0.702856 | -0.758305 | 0.014195 | 0.736695 | 0.038910 | 0.138652 | 0.6805 | 0.6968 | 0.4046 | nan | nan |
| 2459910 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.469208 | 0.198769 | -1.309147 | -0.207891 | -0.039181 | 0.568410 | -0.680225 | -0.668756 | 0.6834 | 0.6980 | 0.4021 | nan | nan |
| 2459909 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.559866 | 0.331718 | -1.463634 | -0.149513 | -0.112287 | 0.722038 | -0.802839 | -0.669461 | 0.6817 | 0.6968 | 0.4020 | nan | nan |
| 2459908 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.617178 | 0.458750 | -1.329258 | -0.059848 | -0.204343 | 0.671666 | -0.823956 | -0.487310 | 0.6892 | 0.7044 | 0.4003 | nan | nan |
| 2459907 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.698138 | 0.155796 | -0.872604 | -0.702660 | 0.051741 | 0.509780 | -0.512167 | 0.013117 | 0.6870 | 0.7018 | 0.3974 | nan | nan |
| 2459906 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.582447 | 0.162769 | -1.007001 | -0.285794 | -0.510185 | 0.684492 | -0.449562 | 0.262425 | 0.6771 | 0.6922 | 0.4006 | nan | nan |
| 2459905 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.629928 | 0.108089 | -0.594834 | -0.865871 | -0.537890 | 0.101699 | -0.991767 | -0.606895 | 0.0537 | 0.0519 | 0.0065 | nan | nan |
| 2459904 | digital_ok | 0.00% | 91.14% | 91.14% | 0.00% | - | - | -1.634205 | 0.008485 | -0.372144 | -0.426740 | -0.755794 | 0.334046 | -1.067681 | -0.358367 | 0.1184 | 0.1133 | 0.0337 | nan | nan |
| 2459903 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.760918 | 0.181663 | -1.299150 | 0.229823 | -0.303031 | 0.568640 | -0.535606 | -0.253630 | 0.6812 | 0.6953 | 0.3959 | nan | nan |
| 2459902 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -2.004741 | 0.251341 | -0.574372 | -0.627232 | -0.334106 | 0.006626 | -0.888772 | -0.552868 | 0.6877 | 0.6974 | 0.3872 | nan | nan |
| 2459901 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.930848 | 0.349277 | -0.914303 | -0.388798 | -0.269925 | 0.433225 | -0.755727 | -0.106439 | 0.6749 | 0.6865 | 0.4145 | nan | nan |
| 2459900 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.744124 | 0.513202 | -1.384553 | 0.172580 | -0.712770 | 0.376904 | -1.061766 | -0.481368 | 0.6348 | 0.6507 | 0.3369 | nan | nan |
| 2459898 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.530650 | 0.126123 | -1.383766 | 0.122905 | 0.352938 | 0.783567 | -0.157238 | 0.509717 | 0.6888 | 0.6970 | 0.3950 | nan | nan |
| 2459897 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.614819 | -0.025833 | -0.477393 | -0.396991 | -0.331128 | 0.594941 | -1.273660 | -0.532489 | 0.0543 | 0.0499 | 0.0054 | nan | nan |
| 2459896 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.446932 | 0.088541 | -1.279200 | 0.142648 | 0.231214 | 0.961558 | -0.651416 | -0.458543 | 0.0533 | 0.0494 | 0.0053 | nan | nan |
| 2459895 | digital_ok | 0.00% | 7.62% | 5.24% | 0.00% | - | - | -1.744435 | -0.386497 | -0.581403 | -0.788699 | -0.851698 | 0.133784 | -1.838827 | -1.077468 | 0.6685 | 0.6764 | 0.2437 | nan | nan |
| 2459894 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.792930 | -0.111387 | -1.003506 | 0.186484 | 0.131675 | 0.920813 | -0.135568 | 0.107238 | 0.7050 | 0.7061 | 0.3753 | nan | nan |
| 2459893 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.449905 | 0.082730 | -0.772780 | -0.416402 | -0.827828 | 0.531298 | -1.319214 | -0.547388 | 0.7034 | 0.7073 | 0.3813 | nan | nan |
| 2459892 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.825679 | 2.562499 | -0.737693 | -0.808946 | 1.827056 | -0.279518 | 72.176118 | 13.565419 | 0.6748 | 0.6965 | 0.3719 | nan | nan |
| 2459891 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.976990 | 2.534471 | -0.137836 | -0.040121 | 0.777975 | -0.258960 | 9.340139 | 4.668164 | 0.6737 | 0.6874 | 0.3750 | nan | nan |
| 2459890 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.185626 | 3.198399 | -0.801535 | -0.980264 | 3.848706 | 1.709196 | 44.193650 | 15.553838 | 0.6699 | 0.6802 | 0.3716 | nan | nan |
| 2459889 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.786236 | 1.956591 | -1.040874 | -0.836719 | 0.333830 | -0.182872 | 10.065690 | 8.630993 | 0.6881 | 0.6895 | 0.3698 | nan | nan |
| 2459888 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.801019 | 2.180995 | 0.104600 | -0.139924 | 0.483806 | 0.909066 | 10.110144 | 8.501698 | 0.7022 | 0.7053 | 0.3623 | nan | nan |
| 2459887 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.802424 | 1.919630 | 0.255518 | -0.267513 | 0.525201 | 0.514759 | 22.242869 | 19.096329 | 0.6874 | 0.6897 | 0.3706 | nan | nan |
| 2459886 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.599540 | 0.463957 | 0.301777 | -0.064026 | 0.054019 | -0.211304 | 1.927547 | 1.081143 | 0.7637 | 0.7457 | 0.3108 | nan | nan |
| 2459885 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.944953 | 3.787264 | 1.771239 | 4.313904 | 3.573086 | 0.673699 | 27.693801 | 8.426073 | 0.7265 | 0.7293 | 0.3362 | nan | nan |
| 2459884 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.528458 | 2.041845 | 0.017792 | -0.268184 | 0.894397 | 0.658755 | 25.441376 | 22.262178 | 0.6811 | 0.6825 | 0.3747 | nan | nan |
| 2459883 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.606302 | 2.925080 | 0.866227 | 3.837385 | 3.685446 | 0.545118 | 163.372792 | 67.440167 | 0.6797 | 0.6930 | 0.3619 | nan | nan |
| 2459882 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 31.577039 | 4.116087 | 2.203395 | -0.142857 | 7.671338 | 1.132169 | 204.436155 | 29.278046 | 0.6558 | 0.6938 | 0.3604 | nan | nan |
| 2459881 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.402285 | 1.859750 | 2.669992 | 5.197082 | 1.573741 | 0.410479 | 17.621692 | 14.008978 | 0.7239 | 0.7365 | 0.3175 | nan | nan |
| 2459880 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.126678 | 4.161167 | 0.744397 | 3.620989 | 4.510454 | 1.785858 | 99.764165 | 31.136366 | 0.6728 | 0.6861 | 0.3710 | nan | nan |
| 2459879 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 19.403194 | 1.802848 | 0.431393 | -0.004138 | 3.446393 | 0.337585 | 42.659170 | 6.526288 | 0.6055 | 0.6851 | 0.3881 | nan | nan |
| 2459878 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.921330 | 3.248943 | 1.586870 | 5.147721 | 8.047189 | 0.948243 | 285.635525 | 44.953063 | 0.6532 | 0.6926 | 0.3840 | nan | nan |
| 2459876 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.371340 | 2.287021 | 0.364390 | -0.415004 | 2.888386 | 1.644371 | 14.725492 | 10.880322 | 0.6906 | 0.6907 | 0.3752 | nan | nan |
| 2459875 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.502398 | 2.750468 | 0.183857 | 0.097997 | 0.750951 | 0.011712 | 10.038300 | 5.039821 | 0.7008 | 0.7115 | 0.3743 | nan | nan |
| 2459874 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 29.525917 | 3.387628 | 0.672598 | -0.492180 | 18.266713 | 0.443557 | 30.551471 | 4.642318 | 0.6586 | 0.6873 | 0.3722 | nan | nan |
| 2459873 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.314682 | 3.231342 | 1.523293 | 2.551944 | 1.717694 | 0.292962 | 22.082332 | 10.307629 | 0.6991 | 0.6846 | 0.3573 | nan | nan |
| 2459872 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.494963 | 1.391322 | 3.430018 | 4.106251 | 4.293955 | 1.482931 | 12.055293 | 6.298480 | 0.6844 | 0.6913 | 0.3762 | nan | nan |
| 2459871 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.188914 | 2.415319 | 2.162079 | 4.267177 | 1.077239 | 1.166910 | 7.410649 | 9.711910 | 0.6979 | 0.6855 | 0.3665 | nan | nan |
| 2459870 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 33.643903 | 2.296053 | 1.861837 | -0.063655 | 14.297071 | 0.002301 | 51.236535 | 3.725812 | 0.6657 | 0.6948 | 0.3699 | nan | nan |
| 2459869 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.675575 | 2.083470 | 0.306083 | 0.000943 | 1.528513 | -0.115950 | 6.602807 | 2.431756 | 0.7126 | 0.7152 | 0.3619 | nan | nan |
| 2459868 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 56.724739 | 2.515693 | 6.439467 | 4.740083 | 5.741582 | 0.389021 | 42.386621 | 15.519064 | 0.6021 | 0.6894 | 0.3648 | nan | nan |
| 2459867 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 40.057074 | 2.243273 | 4.832839 | 3.607619 | 2.137590 | -0.443894 | 12.686950 | 4.128043 | 0.6219 | 0.6923 | 0.3663 | nan | nan |
| 2459866 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 42.632004 | 2.145779 | 4.316515 | 3.106850 | 5.160463 | 0.266316 | 59.142020 | 13.207811 | 0.6240 | 0.6961 | 0.3634 | nan | nan |
| 2459865 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.407649 | 3.070249 | -0.414167 | -0.397333 | 2.499991 | -0.054108 | 11.994124 | 1.445886 | 0.7262 | 0.7198 | 0.3426 | nan | nan |
| 2459864 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.954607 | 6.056034 | -1.137883 | -1.156119 | 0.327128 | 0.833459 | 3.753612 | 12.597504 | 0.6989 | 0.6817 | 0.3884 | nan | nan |
| 2459863 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.798499 | 2.368768 | 0.394508 | 0.504491 | 6.133604 | 0.694675 | 34.235433 | 12.848519 | 0.6783 | 0.6708 | 0.3757 | nan | nan |
| 2459862 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.193451 | 2.685374 | 0.390788 | 0.240077 | 0.659906 | 0.400999 | 5.806440 | 3.405871 | 0.6757 | 0.7043 | 0.3950 | nan | nan |
| 2459861 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.350318 | 1.325506 | 0.557843 | 0.707513 | 5.575758 | 0.405788 | 17.401400 | 4.292763 | 0.6756 | 0.6891 | 0.3837 | nan | nan |
| 2459860 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.645672 | 2.203713 | 0.674122 | -0.033240 | 1.548631 | -0.032733 | 8.633715 | 2.219245 | 0.7104 | 0.6845 | 0.3886 | nan | nan |
| 2459859 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.833006 | 2.635543 | 0.661967 | 0.731325 | 0.804493 | 0.578857 | 13.059286 | 22.687538 | 0.7131 | 0.6837 | 0.3866 | nan | nan |
| 2459858 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.179344 | 2.577609 | 0.629934 | 0.607094 | 2.762822 | 0.655986 | 21.527566 | 6.104642 | 0.7183 | 0.6940 | 0.3967 | 2.729817 | 2.539803 |
| 2459857 | digital_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.737614 | -0.258063 | -0.536740 | -0.767209 | -0.262318 | -0.742614 | -0.080213 | -0.585426 | 0.0256 | 0.0254 | 0.0005 | nan | nan |
| 2459856 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.861267 | 3.485401 | 0.954213 | -0.211165 | -0.043671 | -0.118644 | 5.356153 | 4.170625 | 0.7151 | 0.7073 | 0.3848 | 2.833981 | 2.627502 |
| 2459855 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 25.699256 | 3.365544 | 1.078009 | -0.320132 | 7.578385 | -0.083177 | 11.327214 | 6.241234 | 0.6502 | 0.7154 | 0.4110 | 2.779523 | 2.763180 |
| 2459854 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 26.575135 | 3.821514 | 0.532629 | -0.608468 | 8.865331 | -0.271489 | 12.534808 | 2.181617 | 0.6732 | 0.7442 | 0.4188 | 2.554971 | 2.484062 |
| 2459853 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.106429 | 2.265629 | 0.304628 | -0.677355 | 7.546225 | -0.274065 | 32.937583 | 12.933379 | 0.7154 | 0.6966 | 0.3980 | 2.828087 | 2.707054 |
| 2459852 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.928887 | 1.453166 | -0.408174 | -0.780586 | 4.908420 | 1.251400 | 2.117985 | 0.485887 | 0.8340 | 0.8447 | 0.2288 | 4.835719 | 4.516603 |
| 2459851 | digital_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.865332 | 1.060810 | -0.224512 | -0.611234 | -0.369032 | -0.409323 | -0.128453 | -0.997750 | 0.7562 | 0.7565 | 0.3296 | 3.206028 | 3.170841 |
| 2459850 | digital_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.653715 | 1.763657 | 0.002736 | -0.594706 | 0.038439 | -0.661014 | -0.470547 | -0.837631 | 0.0557 | 0.0480 | 0.0038 | 1.189620 | 1.190050 |
| 2459849 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 9.785305 | 2.683291 | 1.343646 | -0.509069 | 8.956043 | -0.210257 | 19.584104 | 3.628425 | 0.0586 | 0.0511 | 0.0041 | 1.212571 | 1.211234 |
| 2459848 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.425168 | 2.808217 | 1.449197 | -0.681661 | 1.890105 | -0.112313 | 11.302603 | 4.970805 | 0.0592 | 0.0504 | 0.0028 | 1.224744 | 1.217713 |
| 2459847 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 23.941679 | 1.864717 | 1.490442 | -0.615777 | 13.094046 | 0.072344 | 81.454135 | 7.608559 | 0.0466 | 0.0446 | 0.0041 | 1.201114 | 1.200793 |
| 2459846 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.060742 | 1.468255 | 0.373165 | -0.599717 | 6.358430 | 0.280780 | 22.630268 | 2.930634 | 0.0655 | 0.0481 | 0.0025 | 1.218483 | 1.211393 |
| 2459845 | digital_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.773370 | 3.322278 | 1.465044 | 0.408462 | 11.951355 | 0.786401 | 46.175614 | 17.629941 | 0.7257 | 0.7638 | 0.3588 | 5.761107 | 6.933267 |
| 2459844 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 3.764925 | 0.492366 | 5.156471 | 3.661905 | 0.276942 | 0.101182 | 0.410799 | -0.632997 | 0.0255 | 0.0250 | 0.0006 | nan | nan |
| 2459843 | digital_maintenance | 100.00% | 0.66% | 0.66% | 0.00% | 100.00% | 0.00% | 3.362164 | 2.557196 | 10.358821 | 9.517660 | 3.958690 | 4.027538 | 14.297383 | 9.130444 | 0.7558 | 0.7647 | 0.3671 | 4.109246 | 3.922218 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 1.239922 | 0.056705 | -1.487847 | -0.625122 | -0.666109 | 1.239922 | -0.346045 | -0.113056 | -0.934726 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.736695 | 0.017622 | -1.477712 | -0.758305 | -0.702856 | 0.736695 | 0.014195 | 0.138652 | 0.038910 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.568410 | 0.198769 | -1.469208 | -0.207891 | -1.309147 | 0.568410 | -0.039181 | -0.668756 | -0.680225 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.722038 | 0.331718 | -1.559866 | -0.149513 | -1.463634 | 0.722038 | -0.112287 | -0.669461 | -0.802839 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.671666 | -1.617178 | 0.458750 | -1.329258 | -0.059848 | -0.204343 | 0.671666 | -0.823956 | -0.487310 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.509780 | 0.155796 | -1.698138 | -0.702660 | -0.872604 | 0.509780 | 0.051741 | 0.013117 | -0.512167 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.684492 | 0.162769 | -1.582447 | -0.285794 | -1.007001 | 0.684492 | -0.510185 | 0.262425 | -0.449562 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Shape | 0.108089 | 0.108089 | -1.629928 | -0.865871 | -0.594834 | 0.101699 | -0.537890 | -0.606895 | -0.991767 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.334046 | 0.008485 | -1.634205 | -0.426740 | -0.372144 | 0.334046 | -0.755794 | -0.358367 | -1.067681 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.568640 | 0.181663 | -1.760918 | 0.229823 | -1.299150 | 0.568640 | -0.303031 | -0.253630 | -0.535606 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Shape | 0.251341 | -2.004741 | 0.251341 | -0.574372 | -0.627232 | -0.334106 | 0.006626 | -0.888772 | -0.552868 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.433225 | -1.930848 | 0.349277 | -0.914303 | -0.388798 | -0.269925 | 0.433225 | -0.755727 | -0.106439 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Shape | 0.513202 | -1.744124 | 0.513202 | -1.384553 | 0.172580 | -0.712770 | 0.376904 | -1.061766 | -0.481368 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.783567 | 0.126123 | -1.530650 | 0.122905 | -1.383766 | 0.783567 | 0.352938 | 0.509717 | -0.157238 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.594941 | -0.025833 | -1.614819 | -0.396991 | -0.477393 | 0.594941 | -0.331128 | -0.532489 | -1.273660 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.961558 | 0.088541 | -1.446932 | 0.142648 | -1.279200 | 0.961558 | 0.231214 | -0.458543 | -0.651416 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.133784 | -1.744435 | -0.386497 | -0.581403 | -0.788699 | -0.851698 | 0.133784 | -1.838827 | -1.077468 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.920813 | -0.111387 | -1.792930 | 0.186484 | -1.003506 | 0.920813 | 0.131675 | 0.107238 | -0.135568 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | nn Temporal Variability | 0.531298 | -1.449905 | 0.082730 | -0.772780 | -0.416402 | -0.827828 | 0.531298 | -1.319214 | -0.547388 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 72.176118 | 2.562499 | 4.825679 | -0.808946 | -0.737693 | -0.279518 | 1.827056 | 13.565419 | 72.176118 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 9.340139 | 1.976990 | 2.534471 | -0.137836 | -0.040121 | 0.777975 | -0.258960 | 9.340139 | 4.668164 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 44.193650 | 3.198399 | 4.185626 | -0.980264 | -0.801535 | 1.709196 | 3.848706 | 15.553838 | 44.193650 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 10.065690 | 0.786236 | 1.956591 | -1.040874 | -0.836719 | 0.333830 | -0.182872 | 10.065690 | 8.630993 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 10.110144 | 2.180995 | 0.801019 | -0.139924 | 0.104600 | 0.909066 | 0.483806 | 8.501698 | 10.110144 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 22.242869 | 1.919630 | 0.802424 | -0.267513 | 0.255518 | 0.514759 | 0.525201 | 19.096329 | 22.242869 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 1.927547 | -0.599540 | 0.463957 | 0.301777 | -0.064026 | 0.054019 | -0.211304 | 1.927547 | 1.081143 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 27.693801 | 3.787264 | 3.944953 | 4.313904 | 1.771239 | 0.673699 | 3.573086 | 8.426073 | 27.693801 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 25.441376 | 2.041845 | 0.528458 | -0.268184 | 0.017792 | 0.658755 | 0.894397 | 22.262178 | 25.441376 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 163.372792 | 2.925080 | 5.606302 | 3.837385 | 0.866227 | 0.545118 | 3.685446 | 67.440167 | 163.372792 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 204.436155 | 4.116087 | 31.577039 | -0.142857 | 2.203395 | 1.132169 | 7.671338 | 29.278046 | 204.436155 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 17.621692 | 1.859750 | 1.402285 | 5.197082 | 2.669992 | 0.410479 | 1.573741 | 14.008978 | 17.621692 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 99.764165 | 4.161167 | 6.126678 | 3.620989 | 0.744397 | 1.785858 | 4.510454 | 31.136366 | 99.764165 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 42.659170 | 1.802848 | 19.403194 | -0.004138 | 0.431393 | 0.337585 | 3.446393 | 6.526288 | 42.659170 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 285.635525 | 3.248943 | 11.921330 | 5.147721 | 1.586870 | 0.948243 | 8.047189 | 44.953063 | 285.635525 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 14.725492 | 3.371340 | 2.287021 | 0.364390 | -0.415004 | 2.888386 | 1.644371 | 14.725492 | 10.880322 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_ok | ee Temporal Discontinuties | 10.038300 | 2.502398 | 2.750468 | 0.183857 | 0.097997 | 0.750951 | 0.011712 | 10.038300 | 5.039821 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 30.551471 | 29.525917 | 3.387628 | 0.672598 | -0.492180 | 18.266713 | 0.443557 | 30.551471 | 4.642318 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 22.082332 | 3.314682 | 3.231342 | 1.523293 | 2.551944 | 1.717694 | 0.292962 | 22.082332 | 10.307629 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 12.055293 | 1.391322 | 5.494963 | 4.106251 | 3.430018 | 1.482931 | 4.293955 | 6.298480 | 12.055293 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | nn Temporal Discontinuties | 9.711910 | 2.415319 | 1.188914 | 4.267177 | 2.162079 | 1.166910 | 1.077239 | 9.711910 | 7.410649 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 51.236535 | 33.643903 | 2.296053 | 1.861837 | -0.063655 | 14.297071 | 0.002301 | 51.236535 | 3.725812 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 6.602807 | 2.675575 | 2.083470 | 0.306083 | 0.000943 | 1.528513 | -0.115950 | 6.602807 | 2.431756 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Shape | 56.724739 | 56.724739 | 2.515693 | 6.439467 | 4.740083 | 5.741582 | 0.389021 | 42.386621 | 15.519064 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Shape | 40.057074 | 40.057074 | 2.243273 | 4.832839 | 3.607619 | 2.137590 | -0.443894 | 12.686950 | 4.128043 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 59.142020 | 2.145779 | 42.632004 | 3.106850 | 4.316515 | 0.266316 | 5.160463 | 13.207811 | 59.142020 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 11.994124 | 5.407649 | 3.070249 | -0.414167 | -0.397333 | 2.499991 | -0.054108 | 11.994124 | 1.445886 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | nn Temporal Discontinuties | 12.597504 | 6.056034 | 5.954607 | -1.156119 | -1.137883 | 0.833459 | 0.327128 | 12.597504 | 3.753612 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 34.235433 | 10.798499 | 2.368768 | 0.394508 | 0.504491 | 6.133604 | 0.694675 | 34.235433 | 12.848519 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 5.806440 | 3.193451 | 2.685374 | 0.390788 | 0.240077 | 0.659906 | 0.400999 | 5.806440 | 3.405871 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 17.401400 | 1.325506 | 10.350318 | 0.707513 | 0.557843 | 0.405788 | 5.575758 | 4.292763 | 17.401400 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 8.633715 | 2.645672 | 2.203713 | 0.674122 | -0.033240 | 1.548631 | -0.032733 | 8.633715 | 2.219245 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | nn Temporal Discontinuties | 22.687538 | 1.833006 | 2.635543 | 0.661967 | 0.731325 | 0.804493 | 0.578857 | 13.059286 | 22.687538 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 21.527566 | 2.577609 | 4.179344 | 0.607094 | 0.629934 | 0.655986 | 2.762822 | 6.104642 | 21.527566 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | -0.080213 | -0.258063 | -0.737614 | -0.767209 | -0.536740 | -0.742614 | -0.262318 | -0.585426 | -0.080213 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 5.356153 | 3.861267 | 3.485401 | 0.954213 | -0.211165 | -0.043671 | -0.118644 | 5.356153 | 4.170625 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Shape | 25.699256 | 3.365544 | 25.699256 | -0.320132 | 1.078009 | -0.083177 | 7.578385 | 6.241234 | 11.327214 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Shape | 26.575135 | 3.821514 | 26.575135 | -0.608468 | 0.532629 | -0.271489 | 8.865331 | 2.181617 | 12.534808 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 32.937583 | 2.265629 | 11.106429 | -0.677355 | 0.304628 | -0.274065 | 7.546225 | 12.933379 | 32.937583 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Variability | 4.908420 | 0.928887 | 1.453166 | -0.408174 | -0.780586 | 4.908420 | 1.251400 | 2.117985 | 0.485887 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Shape | 1.865332 | 1.865332 | 1.060810 | -0.224512 | -0.611234 | -0.369032 | -0.409323 | -0.128453 | -0.997750 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Shape | 2.653715 | 2.653715 | 1.763657 | 0.002736 | -0.594706 | 0.038439 | -0.661014 | -0.470547 | -0.837631 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 19.584104 | 9.785305 | 2.683291 | 1.343646 | -0.509069 | 8.956043 | -0.210257 | 19.584104 | 3.628425 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 11.302603 | 2.808217 | 3.425168 | -0.681661 | 1.449197 | -0.112313 | 1.890105 | 4.970805 | 11.302603 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 81.454135 | 1.864717 | 23.941679 | -0.615777 | 1.490442 | 0.072344 | 13.094046 | 7.608559 | 81.454135 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 22.630268 | 13.060742 | 1.468255 | 0.373165 | -0.599717 | 6.358430 | 0.280780 | 22.630268 | 2.930634 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 46.175614 | 3.322278 | 15.773370 | 0.408462 | 1.465044 | 0.786401 | 11.951355 | 17.629941 | 46.175614 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Power | 5.156471 | 3.764925 | 0.492366 | 5.156471 | 3.661905 | 0.276942 | 0.101182 | 0.410799 | -0.632997 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44 | N05 | digital_maintenance | ee Temporal Discontinuties | 14.297383 | 2.557196 | 3.362164 | 9.517660 | 10.358821 | 4.027538 | 3.958690 | 9.130444 | 14.297383 |